@maximo2100.bsky.social
150 followers 930 following 250 posts
I'm interested in science, arts, philosophy, geopolitics and many more. Here, I post about technologies related to image making (among others things, I teach in film schools/universities, mostly in Paris).
Posts Media Videos Starter Packs
phantom-video.github.io/OmniInsert/
OmniInsert: Mask-Free Video Insertion of Any Reference via Diffusion Transformer Models
huggingface.co/papers/2510....
Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
huggingface.co/lovis93/next...
You can do the next scenes, keeping the character, lighting, and environment.
pbihao.github.io/projects/Dre...
github.com/dvlab-resear...
DreamOmni2: Multimodal Instruction-based Editing and Generation.
Pretty much does what nano banana does but open source.
huggingface.co/papers/2510....
DreamOmni2: Multimodal Instruction-based Editing and Generation.
huggingface.co/lovis93/next...
Next-scene-qwen-image-lora-2509 is a LoRA adapter fine-tuned on Qwen-Image-Edit (build 2509), purpose-built to generate cinematic image sequences with natural visual progression from frame to frame.
arxiv.org/abs/2506.09980
PartPacker: Efficient Part-level 3D Object Generation (Nvidia research).
Given a single input image, this method generates high-quality 3D objects with an arbitrary number of complete and semantically meaningful parts. #3Dsegmentation
huggingface.co/nvidia/PartP... (demo)
github.com/MeiGen-AI/In...
InfiniteTalk: ​​Unlimited-length talking video generation​​ that supports image-to-video and video-to-video generation
hanlab.mit.edu/projects/dc-...
DC-VideoGen: speeds up AI video generation
From Nvidia
showlab.github.io/Code2Video/
Code2Video: A Code-centric Paradigm for Educational Video Generation
arxiv.org/abs/2510.07316
Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers.
arxiv.org/abs/2501.14607
ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations
arxiv.org/abs/2412.10419
Preference Adaptive and Sequential Text-to-Image Generation (PASTA)
Google research